42 search results - page 1 / 9 » Online dictionary learning for sparse coding |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
CVPR
2011
IEEE
13 years 9 hour ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
JMLR
2010
13 years 3 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...